The real cost of staying slow, blind, and error-prone in a fast-moving design world is devastating.

Let us pick on the RF engineers.  For years, engineers in RF and microwave design have relied on Microsoft Excel as a go-to scratchpad for calculations, S-parameter conversions, and cascaded gain analysis. It’s familiar. It’s flexible. It’s always there.  However, it is not enough. In today’s environment—where systems are more complex, timelines are tighter, and performance margins are razor-thin—Excel becomes a bottleneck. MATLAB isn’t just a better tool. It’s a fundamentally different way to think, design, and solve RF problems.

The Limitations of Excel in RF Design

Excel is built for accountants. Engineers simply hacked it into service.  These are examples of what Excel does not handle well.

• Complex math: RF often involves impedance transformations, frequency-domain data, complex conjugates—these are painful in a spreadsheet.
  
• S-parameters: Spreadsheets can’t natively handle S-parameter matrices over swept frequency.
  
• Dynamic visualization: Need to see how group delay ripples across a band or how mismatch changes with tuning? Excel makes this hard or slow.
  
• Data import/export: Working with .s2p files, instrument data, or vendor models is awkward and error-prone.

What Matlab Does Instantly

You rapidly go from cell-by-cell busywork to system-level understanding.  With RF Toolbox and basic MATLAB, you get:

• sparameters(): import any Touchstone file in one line.
  
• rfplot(), smithplot(): Immediate plotting with gain, return loss, or impedance across frequency.
  
• rfckt.cascade(): simulate multi-stage RF chains and plot total insertion loss, gain flatness, or mismatch.
  
• match(), gamma(), z2gamma(): built-in tools for impedance matching and reflection coefficient math.

Easy integration with filter design, antenna design, phased arrays, and even machine learning models.

Real-World Impact

Excel

• Mistakes creep in due to cell references, forgotten conversions, or misinterpreted data
• You waste hours per part, especially when data must be re-imported or shared
• You can’t visualize the system—only the math

MATLAB

• You simulate, visualize, and iterate in real time
• You can reuse code, share functions with teams, and even wrap into automated test benches
• You spend your time engineering, not formatting cells

Overcome the Object of Expense

At a quick glance, this may make sense.  A full MATLAB license with RF Toolbox and Signal Processing Toolbox may cost a few thousand dollars. Excel is already on your computer.  Let us do some real engineering math.  Return on investment can be tracked in single-digit weeks.

Engineering Time is Expensive

• If your fully burdened labor rate is $100–$250/hour, expenses add up quickly
• Spending 10 extra hours in Excel per month = $1,000–$2,500/month lost.
• Multiply that by 12 months = $12,000–$30,000/year in lost efficiency, rework, or errors.

Consider the MATLAB Route

• Helps catch mismatches or gain ripples before you prototype
• Saves hours on every multi-stage analysis
• Lets you reuse scripts across projects or team members
• Cutting and pasting S21 data manually checking impedance at each stage hand-typing conversions

The Title is “Engineer” Rather than “Data Entry Clerk”

Excel encourages behavior that works against engineering:

• Cutting and pasting data
• Manually checking impedance at each stage parameter sweeps code reuse system-level thinking
• Hand-typing conversions

Meanwhile, MATLAB encourages: parameter sweeps code reuse system-level thinking

• Parameter sweeps
• Code reuse
• System-level thinking

What Now?

Excel is a useful tool—but it’s not a technical environment. MATLAB is. If you’re serious about building and testing high-performance RF systems, MATLAB isn’t a luxury. It’s a force multiplier that helps you move faster, avoid mistakes, and spend your time solving problems—not formatting cells. Next time you’re struggling with a filter model or staring at a Smith chart you’ve built by hand, ask yourself:

“Is this really the best use of my engineering time?”

Because time is expensive. And MATLAB pays for itself.

As my father impressed upon me, a useful tool or equipment item that gets used regularly will pay for itself.